Scalization of parallel computation

Scalization of parallel computation is the future trend of computing development which will bring about more efficient, economical and flexible uti- lization of computing resources. Filecoin, as a decentralized storage public chain, effectively in- tegrates storage resources worldwide through the token mechanism to effectively integrate storage resources worldwide, achieving a storage scale of over 20 EB, which is difficult to be achieved by any single data center. The success of Filecoin has enlightened us to integrate and optimize massively parallel computation through blockchain networks and token economies. [4, 5]

Through the blockchain network, Utility net- work is expected to achieve ultra-large scale chip deployment and to solve the computation prob- lem. Utility network utilizes the proof of com- putational power and computational consensus mechanisms to integrate and coordinate computing resources around the world, enabling more effi- cient resource utilization. Meanwhile, UtilityNet coin(UNC) economy cycle model and application development provide a platform for both providers and demanders for computing resources, pushing to the scalized development of parallel computation.

In the field of AI, especially the SoA (State of Art) general-purpose Transformer models have made significant breakthroughs in a number of fields, including natural language processing, com- puter vision, and reinforcement learning [23]. How- ever, these models are extremely demanding on computing resources, especially in AI training and inference. The massively parallel computation achieved by the Utility network can provide the necessary resources for these models, driving the development and innovation of AI technology.

Utility network can apply the blockchain net- work and token economy to the scalization of par- allel computation, which offers great potential for future AI computation. potential for the future of AI computation. By effectively integrating global computing resources, this network system is ex- pected to drive innovation in computation, open up new paths and opportunities for AI technology development